Director of Product - City of London

City of London
5 days ago
Create job alert

Director of Product - City of London

Salary £(phone number removed)

Hybrid working
Director of Product for a leading client based in London. My client is seeking a Director of Product to lead the clients digital product strategy and execution. The role involves creating innovative solutions that enhance patient experiences and support healthcare professionals. Responsibilities include translating business goals into digital products, leading product management teams, and setting industry standards. Collaboration with engineering, data science, and AI teams is essential to leverage technical capabilities and gain a competitive edge. Develop and execute the digital product strategy in line with business objectives and the technology roadmap.
Key skills and responsibilities,

Extensive experience in product management, including leadership positions
Demonstrated success in bringing digital products from concept to market
Proficient in managing product teams and implementing robust product development methodologies
Strong expertise in user-centered design and customer experience principles
Skilled in agile development practices and leading cross-functional teams
Ability to translate business strategy into product roadmaps
Analytical skills with experience using data to drive product decisions
Experience working with technical teams to develop complex digital solutions
Identify opportunities to use technology for developing new business models and revenue streams
Facilitate the integration of patient-facing and internal operational systems
Develop strategies for digital engagement throughout the patient journey
Collaborate with business units to assess and prioritize digitization opportunities
Stakeholder management and communication skills
Familiarity with healthcare digital transformation trends and technologies
Proven experience with SaaS and multi-platform product development
Background in mobile application development and web-based solutions
Understanding of data privacy regulations in healthcare
Experience with product analytics tools and methodologiesInterested? Please submit your updated CV to Dean Sadler-Parkes at Crimson for immediate consideration.
Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
Crimson is acting as an employment agency regarding this vacancy

Related Jobs

View all jobs

Director of Healthcare Analytics

Product Director - Digital Health

Supply Chain Data Analyst CGT

Director of Generative AI | Remote

Director of Engineering - Advanced Analytics

Senior Analyst & Data Specialist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.